feat: Add support for python3.13 (#512)

* Add support for python3.13 init templates * skip linting until until runtime is GA * Change unit test class base to python313
aws · Nov 7, 2024 · 994ec01 · 994ec01
1 parent f10c876
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diff --git a/.github/workflows/build_test_invoke.yml b/.github/workflows/build_test_invoke.yml
@@ -102,6 +102,12 @@ jobs:
           - version: '3.12'
             type: 'Invoke'
             file: 'tests/integration/build_invoke/python/test_python_3_12.py'
+          - version: '3.13'
+            type: 'Test'
+            file: 'tests/integration/unit_test/test_unit_test_python3_13.py'
+          - version: '3.13'
+            type: 'Invoke'
+            file: 'tests/integration/build_invoke/python/test_python_3_13.py'
     env:
       PYTHON_VERSION_INSTALL: ${{ matrix.version }}
     runs-on: ubuntu-latest

diff --git a/manifest-v2.json b/manifest-v2.json
@@ -1239,6 +1239,73 @@
       "useCaseName": "Multi-step workflow with Connectors"
     }
   ],
+  "python3.13": [
+    {
+      "directory": "python3.13/hello",
+      "displayName": "Hello World Example",
+      "dependencyManager": "pip",
+      "appTemplate": "hello-world",
+      "packageType": "Zip",
+      "useCaseName": "Hello World Example"
+    },
+    {
+      "directory": "python3.13/hello-pt",
+      "displayName": "Hello World Example with Powertools for AWS Lambda",
+      "dependencyManager": "pip",
+      "appTemplate": "hello-world-powertools-python",
+      "packageType": "Zip",
+      "useCaseName": "Hello World Example with Powertools for AWS Lambda"
+    },
+    {
+      "directory": "python3.13/event-bridge",
+      "displayName": "EventBridge Hello World",
+      "dependencyManager": "pip",
+      "appTemplate": "eventBridge-hello-world",
+      "packageType": "Zip",
+      "useCaseName": "Infrastructure event management"
+    },
+    {
+      "directory": "python3.13/event-bridge-schema",
+      "displayName": "EventBridge App from scratch (100+ Event Schemas)",
+      "dependencyManager": "pip",
+      "appTemplate": "eventBridge-schema-app",
+      "isDynamicTemplate": "True",
+      "packageType": "Zip",
+      "useCaseName": "Infrastructure event management"
+    },
+    {
+      "directory": "python3.13/step-func",
+      "displayName": "Step Functions Sample App (Stock Trader)",
+      "dependencyManager": "pip",
+      "appTemplate": "step-functions-sample-app",
+      "packageType": "Zip",
+      "useCaseName": "Multi-step workflow"
+    },
+    {
+      "directory": "python3.13/efs",
+      "displayName": "Elastic File System Sample App",
+      "dependencyManager": "pip",
+      "appTemplate": "efs-sample-app",
+      "packageType": "Zip",
+      "useCaseName": "Lambda EFS example"
+    },
+    {
+      "directory": "python3.13/web-conn",
+      "displayName": "Quick Start: Web Backend With Connectors",
+      "dependencyManager": "pip",
+      "appTemplate": "hello-world-connector",
+      "packageType": "Zip",
+      "useCaseName": "Serverless Connector Hello World Example"
+    },
+    {
+      "directory": "python3.13/step-func-conn",
+      "displayName": "Step Functions Sample App (Stock Trader) With Connectors",
+      "dependencyManager": "pip",
+      "appTemplate": "step-functions-with-connectors",
+      "packageType": "Zip",
+      "useCaseName": "Multi-step workflow with Connectors"
+    }
+  ],
   "ruby3.2": [
     {
       "directory": "ruby/hello",
@@ -1505,6 +1572,32 @@
       "useCaseName": "Machine Learning"
     }
   ],
+  "amazon/python3.13-base": [
+    {
+      "directory": "python3.13/hello-img",
+      "displayName": "Hello World Lambda Image Example",
+      "dependencyManager": "pip",
+      "appTemplate": "hello-world-lambda-image",
+      "packageType": "Image",
+      "useCaseName": "Hello World Example"
+    },
+    {
+      "directory": "python3.13/apigw-scikit",
+      "displayName": "Scikit-learn Machine Learning Inference API",
+      "dependencyManager": "pip",
+      "appTemplate": "ml-apigw-scikit-learn",
+      "packageType": "Image",
+      "useCaseName": "Machine Learning"
+    },
+    {
+      "directory": "python3.13/apigw-xgboost",
+      "displayName": "XGBoost Machine Learning Inference API",
+      "dependencyManager": "pip",
+      "appTemplate": "ml-apigw-xgboost",
+      "packageType": "Image",
+      "useCaseName": "Machine Learning"
+    }
+  ],
   "amazon/ruby3.2-base": [
     {
       "directory": "ruby/hello-img",

diff --git a/python3.13/__init__.py b/python3.13/__init__.py
diff --git a/python3.13/apigw-pytorch/README.md b/python3.13/apigw-pytorch/README.md
@@ -0,0 +1,20 @@
+# Cookiecutter Machine Learning Inference API project
+
+This is a cookiecutter template using [Serverless Application Model (SAM)](https://github.com/awslabs/serverless-application-model) to create a simple handwritten digit classifier deployed as an API.
+
+## Requirements
+
+* [AWS SAM CLI](https://github.com/awslabs/aws-sam-cli)
+
+## Usage
+
+Generate a boilerplate template in your current project directory using the following syntax:
+
+`sam init`
+
+> **NOTE**: ``--name`` allows you to specify a different project folder name (`sam-app` is the default)
+
+
+# Credits
+
+* This project has been generated with [Cookiecutter](https://github.com/audreyr/cookiecutter)
diff --git a/python3.13/apigw-pytorch/__init__.py b/python3.13/apigw-pytorch/__init__.py
diff --git a/python3.13/apigw-pytorch/cookiecutter.json b/python3.13/apigw-pytorch/cookiecutter.json
@@ -0,0 +1,15 @@
+{
+  "project_name": "digit_classifier",
+  "pytorch_version": "2.0.0",
+  "torchvision_version": "0.15.1",
+  "api_path": "/classify_digit",
+  "architectures": {
+    "value": [
+      "x86_64", "arm64"
+    ]
+  },
+  "_copy_without_render": [
+    ".gitignore"
+  ],
+  "__stack_name": "{{ cookiecutter.project_name.lower().replace(' ', '-') }}"
+}
diff --git a/python3.13/apigw-pytorch/setup.cfg b/python3.13/apigw-pytorch/setup.cfg
@@ -0,0 +1,2 @@
+[install]
+prefix=